Kubernetes MCP Server enables AI assistants to manage K8s clusters through natural language. Deploy applications, scale workloads, manage services, and troubleshoot issues without complex kubectl commands or YAML manifests.
Teams waste 40% of their time managing Kubernetes configurations. YAML hell, networking mysteries, deployment failures - K8s is powerful but punishingly complex.
Kubernetes MCP makes cluster management conversational. Say "Deploy my app with 3 replicas and auto-scaling" and watch Claude handle everything - manifests, services, ingress, the works. Enterprise orchestration, simplified.
Deploy apps with optimal resource allocation, auto-scaling, and health checks configured automatically.
Manage multiple clusters across cloud providers. Seamless context switching and cross-cluster operations.
Generate and manage Helm charts, Kustomize configs, and GitOps workflows automatically.
RBAC, network policies, and security contexts configured with best practices by default.
Install Kubernetes MCP
npm install -g kubernetes-mcp-serverConfigure kubectl access
Ensure kubectl is configured with cluster access
Add to Claude Desktop
{
"mcpServers": {
"kubernetes": {
"command": "k8s-mcp",
"args": ["--kubeconfig", "~/.kube/config"]
}
}
}Start orchestrating!
Try: "Deploy nginx with 3 replicas and a load balancer"
Streamline deployments, manage infrastructure as code.
Build and maintain internal developer platforms.
Monitor, troubleshoot, and optimize cluster performance.
Yes! Works with all managed Kubernetes services and distributions.
Yes, with proper RBAC. Always review changes before applying to production.
Full Helm support! Install, upgrade, and manage charts with natural language.
Supports CRDs and operators. Can manage any Kubernetes resource type.